TRANSLATIONAL RESEARCH IN RARE AND NEUROMUSCULAR DISEASES - WHY DATA SHARING MATTERS. H a n n s Lochmüller, Newcastle University

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1 TRANSLATIONAL RESEARCH IN RARE AND NEUROMUSCULAR DISEASES - WHY DATA SHARING MATTERS H a n n s Lochmüller, Newcastle University

2 Addressing the translational pathway 2 Trials Gene identification/ pathophysiology Biomarkers Animal models Delivery mechanisms Proof of principle studies Diagnosis/ care standards Natural history Patient Registries Trial sites Outcome measures Regulatory affairs Ethics Commissioning/ health economics Therapy delivery

3 Positive environment for RD research 3 Recent years have seen an increased focus on RD research, with funding opportunities from different areas National research funding Pharma orphan drug clinical trials EU research funding RD research Publicprivate partnerships 05 March 2015

4 Result: research projects multiply 4 TREAT-NMD CARE-NMD Neuromics RD-Connect 10M EUR network of excellence for rare inherited neuromuscular diseases Implementing care standards for DMD across Europe, in particular Eastern Europe 12M EUR research project on nextgen omics approaches to neuromuscular and neurodegenerative disease 12M EUR RD infrastructure: central global hub connecting registries, biobanks and clinical bioinformatics NMD-Chip High throughput sequencing (gene chips) for NMD diagnostics MYO-SEQ Exome sequencing of 1000 patients with limb girdle phenotype RARE Bestpractices Infrastructure for best practice sharing across rare diseases EUCERD Joint Action for Rare Disease Implementing RD policy and national plans across Europe BIO-NMD SKIP-NMD OPTIMISTIC SCOPE-DMD Identifying and validating preclinical biomarkers for diagnostics and therapeutics Clinical trial for morpholino antisense oligonucleotide exon skipping (53) in DMD Natural history and exercise therapy clinical study in myotonic dystrophy Clinical trial for 2O-ME antisense oligonucleotide exon skipping (45) in DMD 3Gb-TEST Introducing diagnostic applications of 3Gb-Testing in human genetics BIOIMAGE-NMD Development of imaging technologies for therapeutic interventions in rare diseases MYO-MRI Applications of MR imaging and spectroscopy techniques in neuromuscular disease FUTURE Horizon March 2015

5 But: risk of data silos increases 5 Biobank Registry Biomarker study Clinical trial Natural history 05 March 2015

6 Sharing: What? 6 Raw data from all types of studies Genomic data Phenotypic data Natural history data Clinical trial data Biosamples (blood, DNA, tissue samples, cell lines ) Linked data and samples Access to patients 05 March 2015

7 Sharing: Barriers 7 General Privacy protection issues: do I have the patient s permission? Lack of infrastructure: I want to share data but where do I put it? Lack of standards and interoperability Academia Culture of protecting research results: someone else might scoop my publication! Lack of incentives for sharing Industry IP issues/competition (sharing own data) Concerns over data quality, regulatory compliance (reusing data from academia) 05 March 2015

8 Sharing: Benefits 8 Overcoming the rare disease problem Cohort size Powering trials Finding confirmatory cases Reducing costs Reducing duplication of effort Facilitating validation of results Enabling engagement with experts and the patient community 05 March 2015

9 Using shared biosamples: Infrastructure the MRC biobank 9 MRC biobank established at 2 sites (Newcastle and London) Full member of EuroBioBank network and open catalogue More than 5000 NMD samples collected so far More than 100 different neuromuscular pathologies Samples distributed to more than 100 scientists (centre and external) More than 50 research publications acknowledging biobank Several successful grant proposals with strong biobank element

10 Using shared biosamples: Validating experimental therapies 10 Using patient cells to validate experimental therapies: Neutral Lipid Storage Myopathy due to PNPLA2 mutations Recessive inheritance Adult onset myopathy Cardiomyopathy Jordan bodies Clenbuterol may be an attractive candidate for testing in animal models (R Horvath)

11 Sharing: example projects March 2015

12 12 Patient registries: DMD registries pre-treat-nmd (2007)

13 Patient registries: DMD registries today (2015) 13 > 10,000 patients in 35+ countries global data for multicentre trials

14 Patient registries as a tool for research Trial readiness (feasibility and recruitment) Standards of care CARE-NMD Biomarker discovery and validation BIO-NMD Burden of illness (health economics) Natural history

15 Exon skipping gene and mutation specific therapy for Duchenne X

16 DMD exon skipping cumulative data from registries for trial feasibility

17 DMD exon skipping: trial feasibility and recruitment Yellow pins: German and Austrian trial sites (16) Blue pins: DMD & BMD patients in German/Austrian patient registry (693) May 2010

18 DMD exon skipping: trial feasibility and recruitment Yellow pins: German and Austrian trial sites Green pins: Patients meeting basic inclusion criteria for trial (67) Red circle: Under the care of Freiburg (4) and Essen (9) Blue circle: Recruitment potential (within 2 hours reach) Freiburg (15) and Essen (15)

19 Sharing: example projects: Infrastructure for RD data sharing March 2015

20 Infrastructure for RD data sharing RD-Connect 20 An integrated platform connecting databases, registries, biobanks and clinical bioinformatics for rare disease research Overarching objectives: Contribution to the IRDiRC objectives of delivering 200 new therapies for rare diseases and means to diagnose most rare diseases by the year 2020 Development of an integrated, quality-assured and comprehensive platform in which complete clinical profiles are combined with -omics data and sample availability for rare disease research, in particular IRDiRC-funded research.

21 Infrastructure for RD data sharing Data flow within RD-Connect 21 Source data Biomaterial data NeurOmics omics data Other IRDiRC project data EURenOmics omics data Phenotype and registry data Secure, permanent raw data archive European Genomephenome Archive Secure-access system with interactive interface RD-Connect platform Combined repository for linked data Directly integrated bioinformatics tools Access to additional tools via webservices/apis

22 Some concluding thoughts 22 Collaboration and data sharing are even more crucial in rare disease than common Opportunities arising from the increase in RD research will be missed if projects do not share data For large datasets (omics data), publications are not enough: raw data access is essential Number of projects (both academic and PPP) that have been made possible as a result of sharing are proof that hurdles can be overcome Requires a change in mindset on all sides Requires explicit policies and incentivisation Requires appropriate infrastructure 05 March 2015

23 @bushbykate